{"id":4164421,"url":"https://alion.io/job/revvity-priniciple-mdm-architect","title":"Priniciple MDM Architect","company":{"id":20081,"name":"Revvity","domain":"revvity.com","url":"https://alion.io/company/revvity","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":19,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":25,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Enterprise Apps","role_family":"Enterprise Apps","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Apache Tomcat","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Master Data Management","optional":false},{"name":"MuleSoft","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Rest API","optional":false},{"name":"SOAP","optional":false},{"name":"SQL","optional":false},{"name":"Apex","optional":true},{"name":"Java","optional":true}],"status":"live","first_seen_at":"2026-11-12T13:08:40Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T13:08:40Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Title\nPriniciple MDM ArchitectLocation(s)\nIndia - RemoteAbout Us\nRevvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.\nFind your future at Revvity\nKey Responsibilities\nEnterprise Data Architecture & Strategy\nDefine and lead enterprise-wide data architecture strategy and roadmap.\nEstablish scalable architecture for Master Data Management, Data Governance, Data Quality, Metadata Management, and Reference Data Management.\nDevelop target-state data architecture aligned with business objectives and digital transformation initiatives.\nProvide architectural leadership and governance across data platforms, integrations, and downstream applications.\nDefine architecture standards, design principles, and best practices for enterprise data\nAI-Enabled Master Data Management\nDefine and implement an AI-driven MDM strategy to improve master data quality, governance, and operational efficiency.\nEvaluate and integrate Generative AI, Machine Learning, and Intelligent Automation capabilities into MDM processes.\nDesign AI-assisted data stewardship workflows that reduce manual effort in data validation, enrichment, classification, and exception handling.\nLeverage AI models for intelligent entity resolution, duplicate detection, survivorship optimization, and record matching across customer, product, supplier, and vendor domains.\nEstablish AI governance policies to ensure transparency, explainability, security, and regulatory compliance of AI-driven data management processes.\nmanagement.\nMaster Data Management Leadership\nServe as the organization's lead SME and architect for MDM solutions.\nDesign and implement Customer, Product, Vendor, Supplier, and Reference Data Master solutions.\nEstablish and maintain a \"Single Source of Truth\" and Golden Record strategy.\nDefine survivorship, matching, merging, hierarchy management, and data stewardship processes.\nLead MDM platform selection, evaluation, implementation, and optimization initiatives.\nEnsure MDM solutions support operational, analytical, and regulatory requirements.\nData Governance & Stewardship\nDefine enterprise data governance frameworks, standards, policies, and operating models.\nPartner with business stakeholders to establish data ownership, stewardship, and accountability models.\nLead data quality initiatives including profiling, monitoring, remediation, and continuous improvement.\nImplement governance processes to ensure data consistency, accuracy, compliance, and auditability.\nDrive adoption of data governance practices across business units.\nPartner with business and data stewards to implement GenAI-powered capabilities for:Data issue identification and remediation recommendations.\nAutomated business rule generation and validation.\nNatural language search and query capabilities across master data domains.\nMetadata documentation and data catalog enrichment.\nAI-assisted onboarding of new data sources and domains.\n\nSolution Architecture & Integration\nDesign end-to-end data integration architectures across ERP, CRM, PLM, supply chain, and analytics platforms.\nLead integration strategy between MDM and enterprise applications.\nCollaborate with application teams to define data exchange patterns, APIs, services, and event-driven architectures.\nReview and approve technical solution designs for strategic enterprise initiatives.\nTechnology Leadership\nEvaluate emerging data technologies, platforms, and industry trends.\nEstablish enterprise standards for data architecture and implementation.\nConduct architecture reviews and provide technical oversight for all MDM initiatives.\nDrive innovation while balancing scalability, maintainability, and operational support requirements.\nStakeholder Management\nPartner with executive leadership, business stakeholders, data stewards, and technology teams.\nTranslate business requirements into scalable architectural solutions.\nPresent architecture roadmaps and recommendations to senior leadership.\nServe as escalation point for critical data and architecture issues.\nTeam Leadership\nLead and mentor architects, developers, analysts, and data engineers.\nEstablish technical standards and review processes.\nSupport project planning, estimation, resource allocation, and delivery governance.\nFoster a culture of engineering excellence and continuous learning.\nRequired Qualifications\nExperience\n15+ years of experience in Data Management, Data Architecture, Data Integration, or related disciplines.\n8+ years of experience designing and implementing enterprise MDM solutions.\nProven experience leading large-scale enterprise data transformation initiatives.\nExperience defining MDM strategy and enterprise data roadmaps.\nExperience managing architecture teams and cross-functional delivery organizations.\nExperience working directly with executive stakeholders and business leaders.\nMaster Data Management Expertise\nStrong experience in one or more of the following platforms:\nTibco EBX (Orchestra Networks)\nSAP MDG\nData Governance & Quality\nExpertise in Data Governance frameworks and operating models.\nExperience implementing Data Stewardship programs.\nStrong understanding of metadata management and reference data management.\nExperience with data quality assessment, profiling, remediation, and monitoring.\nKnowledge of regulatory and validation environments.\nData Integration & Enterprise Applications\nExperience integrating with enterprise platforms such as:\nSAP ERP\nMicrosoft Dynamics 365\nSalesforce (SFDC)\nPLM Solutions\nCRM Platforms\nSupply Chain Systems\nData Warehouses and Analytics Platforms\nIntegration experience with:\nAPIs\nSOAP Services\nREST Services\nETL/ELT Platforms\nEnterprise Integration Platforms (Boomi, MuleSoft, etc.)\nCloud & Infrastructure\nExperience deploying enterprise data platforms in AWS, Azure, or GCP.\nKnowledge of Redshift, PostgreSQL, Oracle, SQL Server, or equivalent databases.\nExperience with high availability, disaster recovery, and resiliency architectures.\nExperience with WebLogic, JBoss, Tomcat, or similar middleware platforms.\nPreferred Qualifications\nExperience in Life Sciences, Healthcare, Pharmaceutical, Manufacturing, or Consumer Products industries.\nExperience integrating with Dun & Bradstreet (D&B) services for identity resolution and enrichment.\nExperience with large-scale customer data platforms and commercial data ecosystems.\nKnowledge of domain-driven architecture and modern data management practices.\nExperience supporting validated and regulated environments.\nLeadership Competencies\nStrategic thinker with enterprise-wide perspective.\nStrong executive communication and stakeholder management skills.\nAbility to drive organizational adoption of data governance and MDM practices.\nProven ability to influence across business and technology organizations.\nStrong problem-solving and decision-making 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